Introduction
The 30% increase in customer support tickets for LexisNexis's PatentSight tool in Q2 is a significant issue that requires immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps distinguish between cyclical patterns and unique issues. Expected answer: No similar increase in previous Q2 periods. Impact on approach: If seasonal, we'd focus on capacity planning; if not, we'd investigate recent changes.
Why it matters: Identifies whether the issue is widespread or localized to certain user groups. Expected answer: Increase is primarily seen in enterprise users. Impact on approach: If concentrated, we'd focus on that segment's specific needs or recent changes affecting them.
Why it matters: Helps correlate the increase with potential product or system changes. Expected answer: A major UI overhaul was implemented 2 months ago. Impact on approach: If recent changes exist, we'd scrutinize their impact on user experience and functionality.
Why it matters: Pinpoints specific areas of the product or user experience that may be problematic. Expected answer: A significant increase in "data accuracy" related tickets. Impact on approach: We'd focus our investigation on the specific areas showing the most substantial increase.
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